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https://portal.brain-map.org/atlases-and-data/bkp/mapmycells

MapMyCells maps single cell and spatial transcriptomics data sets to massive, high-quality, and high-resolution cell type taxonomies. It enables speeding up the creation of brain reference atlases by facilitating the integration of datasets from the scientific community with a shared reference. MapMyCells is part of the growing Brain Knowledge Platform. Its key advantage is scale: researchers can provide up to 327 million cell-gene pairs from their own data, a huge leap forward for working with whole-brain datasets. Allen Institute and its collaborators continue to add new reference taxonomies and algorithms to MapMyCells.

Proper citation: MapMyCells (RRID:SCR_024672) Copy   

•   Source: SciCrunch Registry

https://docplayer.net/37250096-Fei-philips-cm120-tem.html

Transmission electron microscope with maximum acceleration voltage of 120 kv.Microscope primarily used for sample screening.

Proper citation: Philips: FEI CM120 BioTwin Transmission Electron Microscope (RRID:SCR_024709) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/nihgrantees/

This project is meant for planning the NITRC Grantee meetings. A website for organizing meetings for the Neuroimaging Informatics Tools and Resources Clearinghouse, to facilitate participants meeting one another, and promote discussion of common interests and collaboration.

Proper citation: Grantees Meeting for NITRC (RRID:SCR_000419) Copy   

•   Source: SciCrunch Registry

https://datascience.uth.edu/medcis

NIH funded center to provide system for sharing multimodal epilepsy data for Sudden Unexpected Death in Epilepsy. Modality Epilepsy Data Capture and Integration System (MEDCIS) is cross cohort query interface for SUDEP (Sudden Unexpected Death in EPilepsy) research.

Proper citation: University of Texas Health Science at Houston Center for SUDEP Research (RRID:SCR_024700) Copy   

•   Source: SciCrunch Registry

https://www.infors-ht.com/en/shakers/incubator-shakers/multitron-standard/

Shaker for cultivation of microorganisms and cell cultures provides homogeneous conditions for cultivation up to 63 liters or 23 000 batches in parallel in less than square meter of space.

Proper citation: Multitron: Incubation Shaker (RRID:SCR_024668) Copy   

•   Source: SciCrunch Registry

http://www.projecthalo.com/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Project Halo is a staged, long-range research effort by Vulcan Inc. towards the development of a Digital Aristotlea reasoning system capable of answering novel questions and solving advanced problems in a broad range of scientific disciplines and related human affairs. The project focuses on creating two primary functions: a tutor capable of instructing and assessing students in those subjects, and a research assistant with broad, interdisciplinary skills to help scientists and others in their work. Vulcan began work towards this ambitious vision in 2003 with the Halo Pilot a six-month effort to investigate the feasibility of creating a scientific knowledge base capable of answering novel questions from the AP (1st year college level) chemistry test. Three teams SRI International, Cycorp, and Ontoprise developed knowledge bases, for a limited section of an AP-chemistry syllabus, that were able to correctly answer 40 to 50 percent of the associated questions from the AP test. Since 2004, Project Halo has worked to improve these systems, with an emphasis on enabling knowledge entry by domain experts, instead of specialists in artificial intelligence software. In 2004, Vulcan began the development of Automated User-Centered Reasoning and Acquisition System (AURA), by SRI, that enables domain experts (graduate students in Biology, Chemistry, and Physics) to enter knowledge from introductory science textbooks. In 2006, an evaluation of AURA showed that students could create AURA knowledge bases that correctly answered 40 percent of the questions on a limited AP exam. In 2008, the next evaluation demonstrated an improvement of that score to 70 percent correct. In parallel, Project Halo has sponsored Ontoprise to develop semantic extensions to MediaWiki, the software that Wikipedia runs on. Ontoprise has developed a set of Semantic MediaWiki (SMW)+ extensions to MediaWiki that provide a community-based environment for authoring ontologies and creating semantically enhanced wikis. SMW+ has been widely used and is being applied in project management, enterprise collaboration and knowledge management, business intelligence, and the management of large terminology sets. In 2007, Vulcan began a new effort, Halo Advanced Research (HalAR), to address the difficult knowledge representation and reasoning (KR) challenges that prevent the realization of Digital Aristotle. This effort has produced a new semantic rule language and reasoning system, Semantic Inferencing on Large Knowledge (SILK), which includes major advances, including for default and higher-order reasoning over the web.

Proper citation: Project Halo (RRID:SCR_000136) Copy   

•   Source: SciCrunch Registry

https://covid-19.ensembl.org/

Ensembl SARS-Cov2 data portal.

Proper citation: Ensembl Covid-19 (RRID:SCR_024704) Copy   

•   Source: SciCrunch Registry

https://github.com/cchandre/Polarimetry

Software Python based app for analyzing polarization resolved microscopy data to measure molecular orientation and order in biological samples.

Proper citation: PyPOLAR (RRID:SCR_024681) Copy   

•   Source: SciCrunch Registry

https://cab.spbu.ru/software/spades/

Software package for assembling single cell genomes and mini metagenomes. Uses short read sets as input. Used for genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. Works with Illumina or IonTorrent reads and can provide hybrid assemblies using PacBio, Oxford Nanopore and Sanger reads. Intended for small genomes like bacterial or fungal., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: SPAdes (RRID:SCR_000131) Copy   

•   Source: SciCrunch Registry

https://github.com/katiasmirn/PERFect#perfect-permutation-filtering-package-in-r

Software R package as filtering test for microbiome data. Permutation filtering approach to address two unsolved problems in microbiome data processing: (i) define and quantify loss due to filtering by implementing thresholds and (ii) introduce and evaluate a permutation test for filtering loss to provide a measure of excessive filtering.

Proper citation: PERFect (RRID:SCR_024682) Copy   

•   Source: SciCrunch Registry

http://rosalind.info/

A software infrastructure, course and tool set for teaching bioinformatics, and biology through the use of models. This platform for learning bioinformatics through problem solving aims to make learning bioinformatics fun and easy. Learning bioinformatics usually requires solving computational problems of varying difficulty that are extracted from real challenges of molecular biology. Rosalind offers an array of intellectually stimulating problems that grow in biological and computational complexity; each problem is checked automatically, so that the only resource required to learn bioinformatics is an internet connection. Rosalind also promises to facilitate improvements in standard bioinformatics education by providing a vital teaching aid and a central homework resource. Rosalind is inspired by Project Euler, Google Code Jam, and the ever growing movement of free online courses. The project''s name commemorates Rosalind Franklin, whose X-ray crystallography with Raymond Gosling facilitated the discovery of the DNA double helix by Watson and Crick. We hope that Rosalind will inspire a new generation of bioinformatics students by attracting biologists who want to develop vital programming skills at their own pace in a unique environment as well as programmers who have never been exposed to some of the stimulating computational problems generated by molecular biology.

Proper citation: Rosalind (RRID:SCR_006233) Copy   

•   Source: SciCrunch Registry

https://seer.cancer.gov/csr/1975_2016/

Platform to report outlining trends in cancer statistics and methods to derive various cancer statistics from the Surveillance, Epidemiology, and End Results (SEER) program. Authoritative source for cancer statistics in the United States.

Proper citation: NCI SEER Cancer Statistics Review (RRID:SCR_024685) Copy   

•   Source: SciCrunch Registry

http://oppnet.nih.gov/

OppNet is a trans-NIH initiative to expand the agency's funding of basic behavioral and social sciences research (b-BSSR). Basic-BSSR studies mechanisms and processes that influence behavior at the individual, group, community and population level. Research results lead to new approaches for reducing risky behaviors and improving the adoption of healthy practices. The mission of OppNet is to pursue opportunities for strengthening basic behavioral and social science research (b-BSSR) at the NIH while innovating beyond existing investments. * OppNet advances basic behavioral and social science research through activities and initiatives that build a body of knowledge about the nature of behavior and social systems. * OppNet prioritizes activities and initiatives that focus on basic mechanisms of behavior and social processes; that are relevant to the missions and public health challenges of multiple NIH Institutes, Centers and Offices (ICOs); and that build upon existing NIH investments without replicating them. All NIH Institutes and Centers (ICs) share the mission of supporting b-BSSR. OppNet will also develop a plan for focused multi-year programs across ICs to advance priority topics within b-BSSR.

Proper citation: OppNet - Basic Behavioral and Social Science Opportunity Network (RRID:SCR_003522) Copy   

•   Source: SciCrunch Registry

https://seer.cancer.gov/lymphomarecode/lymphoma-2020.html

Website describing International Classification of Diseases codes that corresponds to lymphomas in the Surveillance, Epidemiology, and End Results (SEER) registry.

Proper citation: NCI Lymphoid Neoplasm Recode 2020 Revision Definition (RRID:SCR_024686) Copy   

•   Source: SciCrunch Registry

https://www.emerson.com/en-us/catalog/branson-sfx250

Branson Sonifier ultrasonic cell disruptor / homogenizers are versatile laboratory units suitable for broad range of liquid processing applications. Digital sonifier to disrupt cells, bacteria, spores, or tissue. Ideal for initiating and accelerating chemical, biochemical, and physical reactions, and for degassing liquids. Used to prepare emulsion to 0.01 micron, homogenize immiscible liquids, polymerize some materials, and depolymerize others.

Proper citation: Emerson: Branson Digital Sonifier SFX250 (RRID:SCR_024710) Copy   

•   Source: SciCrunch Registry

http://www.agic.umn.edu/

Portal as data resource, map repository, and GIS service provider for federally-funded scientists conducting research in the Arctic and Antarctic. The PGC holds an extensive collection of satellite imagery and aerial photography at varying resolutions.

Proper citation: Polar Geospatial Center (RRID:SCR_000402) Copy   

•   Source: SciCrunch Registry

http://www.bioeng.nus.edu.sg/compbiolab/projects/index.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Computational Bioengineering Laboratory in the Division of Bioengineering at the National University of Singapore has expertise in mathematical modeling, software and algorithm development, numerical techniques such as finite element analysis, computer simulation and visualization, signal and image processing plus an understanding of the biological systems that drive our efforts. The following are the main themes underlying the Computational Bioengineering Laboratory projects: - Computational Biology - Computational Physiology - Biosignal & Bioimage Processing - Integrated Physiology & the Physiome Project

Proper citation: National University of Singapore, Computational Bioengineering Laboratory (RRID:SCR_000284) Copy   

•   Source: SciCrunch Registry

https://wifire.ucsd.edu/

Consortium of UC San Diego organizations and number of partnerships including university collaborators, industry partners, fire departments, utilities, State’s CalOES and CPUC. Develops science driven technologies with fire management community using collaborative workflows integrating science and AI. Provides real time fire modeling and predictions for firefighters. Harnesses emerging AI techniques to offer novel way to approach spatial heterogeneity and upgrading of data.

Proper citation: UCSD WIFIRE (RRID:SCR_024650) Copy   

•   Source: SciCrunch Registry

https://library.ucdavis.edu/

Collections include print and ebooks, newspapers, maps, photographs, art, historical archives, and other materials in physical and digital formats. Provides campuswide subscriptions to wide range of licensed resources, from journals and library databases to streaming media, clinical apps, and lab experiment videos. Offers access to UC collection as part of University of California.

Proper citation: UC Davis Library (RRID:SCR_024651) Copy   

•   Source: SciCrunch Registry

http://www.koada.com/koadarray/

A fully automatic array image analysis software which can process single or multiple array images. Koadarray automatically finds the spot locations within each image and quantifies the spot intensity data. It can be used in conjunction with radioactive applications, macroarray applications, fluorescent microarray image analysis and fluorescent microplate images.

Proper citation: Koadarray (RRID:SCR_000321) Copy   

•   Source: SciCrunch Registry